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KDD
2010
ACM
242views Data Mining» more  KDD 2010»
14 years 27 days ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
UAI
2003
14 years 8 days ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
BMCBI
2010
108views more  BMCBI 2010»
13 years 11 months ago
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
BMCBI
2010
118views more  BMCBI 2010»
13 years 11 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
BMCBI
2010
98views more  BMCBI 2010»
13 years 11 months ago
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure
Background: Prediction of protein structural classes (a, b, a + b and a/b) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulat...
Jian-Yi Yang, Zhen-Ling Peng, Xin Chen